As ALLKND prepared to scale, it wanted to make sure it was building the right foundations for measuring impact: understanding the outcomes it was working towards, for whom, and what data it would need to demonstrate them over time.
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“It was great working with Vicky and the ImpactLab team. She was excellent at breaking down the process, explaining why they ask certain questions, what data they're looking for and so on.”
“It was great working with Vicky and the ImpactLab team. She was excellent at breaking down the process, explaining why they ask certain questions, what data they're looking for and so on.”
As ALLKND prepared to scale, it wanted to make sure it was building the right foundations for measuring impact: understanding the outcomes it was working towards, for whom, and what data it would need to demonstrate them over time.
Getting this wrong early would mean reconstructing the evidence later, under pressure, with weaker data.
ALLKND engaged ImpactLab's Foundations approach to fix that before scaling.
The team worked with ALLKND to develop and validate its intervention logic, drawing on the organisation's existing data and relevant academic research to test the links between its activities and intended outcomes.
From this, ImpactLab gave ALLKND practical, specific recommendations on what data to collect as its programs grow.
ALLKND can now design its data collection around the outcomes that matter, instead of guessing. That means:
As ALLKND's Milly Bannister put it:
“It was great working with Vicky and the ImpactLab team. She was excellent at breaking down the process, explaining why they ask certain questions, what data they're looking for and so on.”
If you're growing, testing a new model, or preparing to scale, get your impact measurement right early.
As ALLKND prepared to scale, it wanted to make sure it was building the right foundations for measuring impact: understanding the outcomes it was working towards, for whom, and what data it would need to demonstrate them over time.
Getting this wrong early would mean reconstructing the evidence later, under pressure, with weaker data.
ALLKND engaged ImpactLab's Foundations approach to fix that before scaling.
The team worked with ALLKND to develop and validate its intervention logic, drawing on the organisation's existing data and relevant academic research to test the links between its activities and intended outcomes.
From this, ImpactLab gave ALLKND practical, specific recommendations on what data to collect as its programs grow.
ALLKND can now design its data collection around the outcomes that matter, instead of guessing. That means:
As ALLKND's Milly Bannister put it:
“It was great working with Vicky and the ImpactLab team. She was excellent at breaking down the process, explaining why they ask certain questions, what data they're looking for and so on.”
If you're growing, testing a new model, or preparing to scale, get your impact measurement right early.
%20(1).jpg)
As ALLKND prepared to scale, it wanted to make sure it was building the right foundations for measuring impact: understanding the outcomes it was working towards, for whom, and what data it would need to demonstrate them over time.

The GoodMeasure report has reinforced our view that its a strong program.

Our MoneyTime financial literacy program for 10-14 year olds is provided free of charge into New Zealand schools.

Shifts are needed based on what the data is telling us.
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